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Exasol’s Analytics Engine accelerates insights from the world’s data. It is purpose-built to handle the most demanding data workloads at an unmatched price/performance ratio. Our in-memory, massively parallel processing (MPP) technology is specifically designed for analytics, enabling businesses to turn data into actionable insights. At Exasol, we are committed to pushing the boundaries of what is possible in data analytics, and we are looking for enthusiastic individuals to join our team and help shape the future of data technology. Join our diverse, remote-first team where more than 30+ languages (and counting!) are spoken, and every voice is valued. We are looking for passionate individuals who thrive on collaboration, innovation, and a shared commitment to help shape the future of data technology. We are seeking a highly skilled Lead DevOps Engineer with strong experience across AWS and on-prem environments, ideally with a product engineering background. The ideal candidate will have deep expertise in Linux, Python, infrastructure automation, CI/CD, and cloud-native engineering. This role requires an individual contributor operating at a senior level, capable of independently implementing build pipelines, infrastructure, observability stacks, and operations processes. Strong troubleshooting and incident-resolution abilities are essential.
Observability, Monitoring & Incident Management: Set up and maintain monitoring, logging, and alerting using: Prometheus/Alloy, Grafana (preferred) and/or ELK/Opensearch, Loki, CloudWatch, Datadog, New Relic, Splunk
Provide operations support and lead critical incident resolution working alongside development and IT teams